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educational visualization

Javascript library for training Deep Learning models (Neural Networks) entirely in your browser

Variety of resources and pointers to information about Deep Learning

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Discussion of advanced topics and concepts

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five-course specialization, programming assignments

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high-level neural networks API, running on top of TensorFlow, CNTK, or Theano

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Open-source, numerical computation

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open source deep learning platform that provides a seamless path from research prototyping to production deployment

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Neural networks as a series of computational steps via a directed graph

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guests, experts

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Concept videos showcasing the intuition behind Deep Learning methods, how to's, reviews of software libraries, applications, interviews

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Deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence

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the foundations of deep learning

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Building TensorFlow Applications, Deep Networks and Sequence Models, Convolutional Networks, Industry Applications

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series of concept videos explaining the idea behind every Deep Learning method

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open-ended machine learning research

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Human-centered AI and autonomous vehicles

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scikit-Learn, Keras, TensorFlow

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Core concepts behind neural networks and deep learning

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

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threshold logic

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Minimizing the cost function to train deep neural networks

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Concept videos showcasing the intuition behind Deep Learning methods, how to's, reviews of software libraries, applications, interviews

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defines the output of that node, or "neuron," given an input or set of inputs, it maps the resulting values into the desired range such as between 0 to 1 or -1 to 1

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Variety of resources and pointers to information about Deep Learning

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a class of feedforward artificial neural network.

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Loss function

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Discussion of advanced topics and concepts

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A technique for improving the speed, performance, and stability of artificial neural networks. It is used to normalize the input layer by adjusting and scaling the activations

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educational visualization

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*
*

high-level neural networks API, running on top of TensorFlow, CNTK, or Theano

*Upvote*
*
*

Open-source, numerical computation

*Upvote*
*
*

open source deep learning platform that provides a seamless path from research prototyping to production deployment

*Upvote*
*
*

Javascript library for training Deep Learning models (Neural Networks) entirely in your browser

*Upvote*
*
*

*Upvote*
*
*

Neural networks as a series of computational steps via a directed graph

*Upvote*
*
*

scikit-Learn, Keras, TensorFlow

*Upvote*
*
*

Core concepts behind neural networks and deep learning

*Upvote*
*
*

five-course specialization, programming assignments

*Upvote*
*
*

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

*Upvote*
*
*

the foundations of deep learning

*Upvote*
*
*

threshold logic

*Upvote*
*
*

Building TensorFlow Applications, Deep Networks and Sequence Models, Convolutional Networks, Industry Applications

*Upvote*
*
*

series of concept videos explaining the idea behind every Deep Learning method

*Upvote*
*
*

Deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence

*Upvote*
*
*

guests, experts

*Upvote*
*
*

Human-centered AI and autonomous vehicles

*Upvote*
*
*

open-ended machine learning research

*Upvote*
*
*

Neural Networks